Management device, management method, and program
Abstract
A management device includes an information acquirer configured to acquire battery information on a usage state of a secondary battery mounted in a vehicle and information on a user from the vehicle, a first feature deriver configured to derive a first feature indicating a state of the secondary battery based on a result obtained by applying the battery information to a battery state detection model that identifies the state of the secondary battery, a second feature deriver configured to derive a second feature indicating characteristics of the user based on the information on the user, and a selector configured to select a battery suitable for the user based on a result obtained by inputting the first feature and the second feature to a matching model that outputs a result showing compatibility between the user and a battery based on the first feature and the second feature.
Claims
exact text as granted — not AI-modifiedWhat is claim is:
1. A management device comprising:
an information acquirer configured to acquire battery information on a usage state of a secondary battery mounted in a vehicle and information on a user from the vehicle;
a first feature deriver configured to derive a first feature indicating a state of the secondary battery based on a result obtained by applying the battery information to a battery state detection model that identifies the state of the secondary battery;
a second feature deriver configured to derive a second feature indicating characteristics of the user based on the information on the user; and
a selector configured to select a battery suitable for the user based on a result obtained by inputting the first feature and the second feature to a matching model that outputs a result showing compatibility between the user and a battery based on the first feature and the second feature,
wherein the information acquirer acquires a detection value indicating a usage state of the secondary battery as the battery information, and
the first feature deriver derives a feature that identifies the state of the battery as the first feature, the first feature being a transition of states being a capacity of the secondary battery, an SOC-OCV curve of the secondary battery, and an internal resistance of the secondary battery in a three-dimensional space model defined by the capacity of the secondary battery, the SOC-OCV curve of the secondary battery, and the internal resistance of the secondary battery.
2. The management device according to claim 1 ,
wherein the information acquirer acquires vehicle information on a traveling state of the vehicle as the information on the user, and
the second feature deriver derives the second feature based on a result obtained by applying the vehicle information to a user characteristic detection model that identifies characteristics of the user.
3. The management device according to claim 1 ,
wherein the information acquirer acquires information indicating a current, a voltage, and a temperature when the secondary battery is charged or discharged as the detection value.
4. A management method comprising:
by a computer,
acquiring battery information on a usage state of a secondary battery mounted in a vehicle and information on a user from the vehicle;
deriving a first feature indicating a state of the secondary battery based on a result obtained by applying the battery information to a battery state detection model that identifies the state of the secondary battery;
deriving a second feature indicating characteristics of the user based on the information on the user; and
selecting a battery suitable for the user based on a result obtained by inputting the first feature and the second feature to a matching model that outputs a result showing compatibility between the user and a battery based on the first feature and the second feature,
wherein the acquiring includes acquiring a detection value indicating a usage state of the secondary battery as the battery information, and
deriving the first feature includes deriving a feature that identifies the state of the battery as the first feature, the first feature being a transition of states being a capacity of the secondary battery, an SOC-OCV curve of the secondary battery, and an internal resistance of the secondary battery in a three-dimensional space model defined by the capacity of the secondary battery, the SOC-OCV curve of the secondary battery, and the internal resistance of the secondary battery.
5. A program which causes a computer to execute:
acquiring battery information on a usage state of a secondary battery mounted in a vehicle and information on a user from the vehicle;
deriving a first feature indicating a state of the secondary battery based on a result obtained by applying the battery information to a battery state detection model that identifies the state of the secondary battery;
deriving a second feature indicating characteristics of the user based on the information on the user; and
selecting a battery suitable for the user based on a result obtained by inputting the first feature and the second feature to a matching model that outputs a result showing compatibility between the user and a battery based on the first feature and the second feature
wherein the acquiring includes acquiring a detection value indicating a usage state of the secondary battery as the battery information, and
deriving the first feature includes deriving a feature that identifies the state of the battery as the first feature, the first feature being a transition of states being a capacity of the secondary battery, an SOC-OCV curve of the secondary battery, and an internal resistance of the secondary battery in a three-dimensional space model defined by the capacity of the secondary battery, the SOC-OCV curve of the secondary battery, and the internal resistance of the secondary battery.Cited by (0)
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